Data Engineer

Job Description

Everforth ECS is seeking a Data Engineer to work in a hybrid remote/onsite capacity, with a minimum of three business days onsite at our Fairfax, VA corporate office and/or our Ashburn, VA customer site. The Data Engineer supports the construction and day‑to‑day operation of Customs and Border Protection (CBP) data pipelines, contributing to the platform's mission of delivering reliable, analytics‑ready data to operators and mission partners.

This position is contingent upon contract award.

Salary Range: $145,000–160,000

• Configures structured data flows using Apache Airflow, AWS Glue jobs, Spark scripts, and Kafka topics under guidance from senior engineering personnel.
• Performs data preparation tasks including schema mapping, format conversions, metadata tagging, and movement into bronze, silver, and gold medallion tiers.
• Executes baseline quality checks using profiling tools, validation rules, and drift‑monitoring alerts to detect abnormalities within lake environments.
• Applies approved security, IAM, and data‑handling patterns under guidance from senior engineers and cybersecurity personnel to support cybersecurity requirements for operational data handling.
• Supports Tier‑2 and engineering teams by performing basic log review, triage steps, and documented remediation actions for data ingestion or transformation failures.
• Updates technical documentation, workflow diagrams, and pipeline inventories within SharePoint, Confluence, and Git Lab repositories.
• Tracks performance indicators including data freshness, pipeline run duration, and feature availability, contributing analytical inputs for engineering decision‑making.
• Coordinates with developers, platform engineers, and data operations specialists to support routine updates, backlog work, and deployment activities.
• Contributes to operational readiness by executing repeatable engineering tasks that maintain pipeline continuity, strengthen data usability, and support enterprise analytics across mission communities.
• Travel outside the Northern Virginia area is expected to be 15% or less.
• Performs other duties as assigned.

• US Citizen; must be able to obtain and maintain a Public Trust determination.
• Bachelor’s degree in a STEM field – data engineering or computer science preferred.
• 3+ years of experience in data engineering, software development, or a closely related technical discipline, with foundational exposure to data pipeline construction, ETL workflows, or cloud‑based data platforms such as AWS, Microsoft Azure, or Google Cloud Platform (GCP).
• Working knowledge of Python and/or SQL, with familiarity with at least one data orchestration or processing tool such as Apache Airflow, Apache Spark, or AWS Glue.
• Strong teaming and communication skills.

• Active SECRET security clearance.
• Prior internship, academic project, or professional experience supporting data engineering or analytics work in a federal, defense, or intelligence community environment.
• Exposure to medallion architecture data lake design patterns, data quality monitoring techniques, or metadata and lineage management practices.
• Familiarity with Dev Sec Ops  practices, Agile or SAFe development methodologies, or version control and collaboration tools such as Git Lab, Git Hub, or Confluence.
• Experience with data visualization or dashboard reporting tools such as Tableau, Power BI, Databricks SQL, or Grafana.
• Experience with or strong interest in designing semantic data interfaces, metadata layers, or API‑based data products that enable automated workflows, AI assistants, and emerging agentic AI capabilities.

ECS Federal LLC is an equal opportunity employer and does not discriminate or allow discrimination on the basis of any characteristic protected by law. All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, or local jurisdiction law.